> ## Documentation Index
> Fetch the complete documentation index at: https://vietbui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Firecrawl

> Managed web scraping and crawling service purpose-built for LLM consumption. Converts arbitrary web pages into clean markdown or structured JSON. Available a…

# Firecrawl

Managed web scraping and crawling service purpose-built for LLM consumption. Converts arbitrary web pages into clean markdown or structured JSON. Available as a cloud API or self-hosted.

## What it does

Firecrawl handles the full stack of web data extraction:

* Clean HTML → markdown conversion (removes nav, ads, boilerplate)
* JavaScript-heavy SPA rendering
* Multi-page crawling with depth control
* Structured data extraction via LLM + JSON schema
* Autonomous web research (async agent mode)
* Interactive browser sessions via CDP

## MCP Integration

Firecrawl exposes an MCP server (`firecrawl-mcp`) with 14 tools, directly available to Claude Code and any MCP-compatible agent without custom code.

```sh theme={null}
# Remote hosted (recommended)
claude mcp add firecrawl --url https://mcp.firecrawl.dev/{FIRECRAWL_API_KEY}/v2/mcp

# Local via npx
claude mcp add firecrawl -e FIRECRAWL_API_KEY=<key> -- npx -y firecrawl-mcp
```

API keys: [firecrawl.dev/app/api-keys](https://www.firecrawl.dev/app/api-keys)

### Tool Inventory

| Tool                           | Purpose                                               |
| ------------------------------ | ----------------------------------------------------- |
| `firecrawl_scrape`             | Single URL → clean markdown/JSON                      |
| `firecrawl_map`                | Discover all indexed URLs on a site                   |
| `firecrawl_crawl`              | Async multi-page crawl with depth control             |
| `firecrawl_check_crawl_status` | Poll crawl job status                                 |
| `firecrawl_search`             | Web search + optional page scraping of results        |
| `firecrawl_extract`            | LLM-powered structured extraction with JSON schema    |
| `firecrawl_agent`              | Autonomous web research agent — returns job ID, async |
| `firecrawl_agent_status`       | Poll agent job (every 15–30s, timeout after 2–3 min)  |
| `firecrawl_browser_create`     | Create persistent browser session via CDP             |
| `firecrawl_browser_execute`    | Execute bash/Python/JS in session                     |
| `firecrawl_browser_delete`     | Destroy session                                       |
| `firecrawl_browser_list`       | List active/destroyed sessions                        |
| `firecrawl_interact`           | Scrape first, then click/fill/navigate on that page   |
| `firecrawl_interact_stop`      | Free interact session resources                       |

**When to use which:**

* Single page → `firecrawl_scrape`
* Discover site structure → `firecrawl_map`
* Multi-page crawl → `firecrawl_crawl`
* Web search with full page content → `firecrawl_search`
* Structured data from known pages → `firecrawl_extract` with schema
* Complex multi-source research, unknown URLs → `firecrawl_agent` (async)
* JavaScript-heavy SPAs → `firecrawl_interact` or `firecrawl_browser_*`

### Configuration

Cloud (default): `FIRECRAWL_API_KEY`. Self-hosted: `FIRECRAWL_API_URL` instead.

Retry env vars: `FIRECRAWL_RETRY_MAX_ATTEMPTS`, `FIRECRAWL_RETRY_INITIAL_DELAY`, `FIRECRAWL_RETRY_MAX_DELAY`, `FIRECRAWL_RETRY_BACKOFF_FACTOR`. Default: 3 attempts, exponential backoff (1s → 2s → 4s).

Credit alerts: `FIRECRAWL_CREDIT_WARNING_THRESHOLD`, `FIRECRAWL_CREDIT_CRITICAL_THRESHOLD`.

## Comparison to Alternatives

|                       | Firecrawl        | [Pydoll](/entities/pydoll) | Playwright MCP |
| --------------------- | ---------------- | -------------------------- | -------------- |
| Setup                 | Cloud/managed    | OSS, self-run              | Local npx      |
| Fingerprint evasion   | Limited          | Strong (CDP-native)        | None           |
| Structured extraction | Yes (LLM schema) | No                         | No             |
| Autonomous agent      | Yes              | No                         | No             |
| Cost                  | API credits      | Free                       | Free           |

**Use Firecrawl when**: you need clean structured data, autonomous research, or don't want to manage browser infrastructure.
**Use Pydoll when**: fingerprint evasion matters (scraping anti-bot-protected sites).
**Use Playwright MCP when**: you need direct browser control for UI testing/interaction.

See also [ketch](/entities/ketch) — stateless CLI covering scrape/crawl plus web/code/docs search in one binary; narrower per-surface than Firecrawl (no schema extraction or autonomous agent mode) but config-driven backend swap and no daemon/cloud dependency.

## Links

* GitHub: [firecrawl/firecrawl-mcp-server](https://github.com/firecrawl/firecrawl-mcp-server)
* API keys: [firecrawl.dev/app/api-keys](https://www.firecrawl.dev/app/api-keys)

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G.graphData(visible());G.d3VelocityDecay(0.4);
function fit(){G.zoomToFit(400,20);}
setTimeout(fit,350);setTimeout(fit,1100);
// Stop the render/sim loop while idle so the fixed widget never repaints during
// parent-page scroll; resume only while the pointer is over the widget.
var pt;function pause(){G.pauseAnimation();}function resume(){G.resumeAnimation();}
function idle(ms){clearTimeout(pt);pt=setTimeout(pause,ms);}
document.body.addEventListener('pointerenter',function(){clearTimeout(pt);resume();});
document.body.addEventListener('pointerleave',function(){idle(250);});
addEventListener('resize',function(){resume();G.zoomToFit(0,20);idle(700);});
idle(2000);
function apply(re){resume();G.nodeRelSize(opt.ns).linkWidth(opt.lw).linkDirectionalArrowLength(opt.ar?2.6:0);if(re){G.graphData(visible());setTimeout(fit,450);}idle(re?2200:1400);}
function bind(id,key,fmt,re){var e=document.getElementById(id),o=document.getElementById('v'+id);e.value=opt[key];if(o)o.textContent=fmt(opt[key]);e.addEventListener('input',function(){opt[key]=parseFloat(e.value);if(o)o.textContent=fmt(opt[key]);apply(re);});}
bind('ns','ns',function(v){return v.toFixed(1);},false);
bind('lw','lw',function(v){return v.toFixed(1);},false);
bind('ts','ts',function(v){return v.toFixed(1);},false);
bind('to','to',function(v){return v.toFixed(2);},false);
var dE=document.getElementById('dp'),dO=document.getElementById('vd');dE.max=MAXD;dE.value=opt.dp;dO.textContent=opt.dp;dE.addEventListener('input',function(){opt.dp=parseInt(dE.value,10);dO.textContent=opt.dp;apply(true);});
if(!CUR)document.getElementById('depthRow').style.display='none';
var aE=document.getElementById('ar');aE.checked=opt.ar;aE.addEventListener('change',function(){opt.ar=aE.checked;apply(false);});
document.getElementById('gear').addEventListener('click',function(){document.getElementById('panel').classList.toggle('open');});
var hd=document.getElementById('hd');hd.textContent='⠿  '+(CUR?'Local graph':'Knowledge graph');
// free-form placement: drag by the header. Default is bottom-right (inline style);
// a moved position is saved per parent-origin and restored on every page.
function clampPos(fe,l,t){var TW=(window.top||window),r=fe.getBoundingClientRect();return [Math.min(Math.max(0,l),Math.max(0,TW.innerWidth-r.width)),Math.min(Math.max(0,t),Math.max(0,TW.innerHeight-r.height))];}
function place(fe,l,t){var p=clampPos(fe,l,t);fe.style.left=p[0]+'px';fe.style.top=p[1]+'px';fe.style.right='auto';fe.style.bottom='auto';}
try{var sp=JSON.parse(localStorage.getItem('llmwiki_graph_pos'));if(sp&&window.frameElement)place(window.frameElement,sp.l,sp.t);}catch(e){if(window.console)console.debug('graph: saved position unavailable',e);}
hd.addEventListener('pointerdown',function(e){var fe=window.frameElement;if(!fe)return;var rect=fe.getBoundingClientRect();var sx=e.screenX,sy=e.screenY,L=rect.left,T=rect.top;place(fe,L,T);hd.setPointerCapture(e.pointerId);
function mv(ev){place(fe,L+ev.screenX-sx,T+ev.screenY-sy);}
function up(){if(hd.hasPointerCapture(e.pointerId))hd.releasePointerCapture(e.pointerId);hd.removeEventListener('pointermove',mv);hd.removeEventListener('pointerup',up);try{localStorage.setItem('llmwiki_graph_pos',JSON.stringify({l:parseFloat(fe.style.left),t:parseFloat(fe.style.top)}));}catch(e2){if(window.console)console.debug('graph: could not persist position',e2);}}
hd.addEventListener('pointermove',mv);hd.addEventListener('pointerup',up);e.preventDefault();});
</script></body></html>"
  title="Knowledge graph"
  loading="lazy"
  style={{position:"fixed",right:"18px",bottom:"18px",width:"320px",height:"340px",border:0,borderRadius:"14px",boxShadow:"0 6px 28px rgba(0,0,0,0.38)",zIndex:50,background:"#0f1117"}}
/>